Pui Wai Chiu1,2, Hui Zhang1, Issac Ip3, Savio Wai Ho Wong3, Tianyin Liu4, Gloria Hoi Yan Wong5, Queenie Chan6, Kelvin Kai Wing Yau7, Leung Wing Chu8,9, and Henry Ka Fung Mak1,2,9
1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong, 3Department of Special Education and Counselling, The Education University of Hong Kong, Hong Kong, Hong Kong, 4Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong, Hong Kong, 5Department of Social Work and Administration, The University of Hong Kong, Hong Kong, Hong Kong, 6Philips Healthcare, Hong Kong, Hong Kong, Hong Kong, 7Department of Management Sciences, City University of Hong Kong, Hong Kong, Hong Kong, 8Department of Medicine, Queen Mary Hospital, Hong Kong, Hong Kong, 9Alzheimer's Disease Research Network, The University of Hong Kong, Hong Kong, Hong Kong
Synopsis
fMRI
can indirectly measure brain activity, but the biochemical underpinnings of the
BOLD changes are still unknown. Nevertheless, 1H-MRS can bridge such
gap by measuring Glx [summation of glutamate (Glu) and glutamine (Gln)], where Glu is one of the mediators
of neurovascular coupling. In this study, we aim to elucidate the complex relationship between attention control (numerical Stroop) and
its associated neurochemical changes by combining the biochemical information
from task-based fMRI and 1H-MRS. Our result showed that the anterior cingulate cortex was positively correlated with Glx.
This is the first study providing neurochemical
explanation of the BOLD change during attention
control task.
Purpose
Functional magnetic
resonance imaging (fMRI) can indirectly measure brain activity because its
blood oxygen level-dependent (BOLD) signal largely depends on neurovascular coupling, which refers to the
processes by which neural activity influences the haemodynamic properties of
the surrounding vasculature. Nevertheless, the biochemical underpinnings of such BOLD changes cannot be elucidated
using fMRI alone. A promising technique for bridging the gap, by virtue of
measuring in-vivo brain metabolite concentrations, is proton magnetic resonance
spectroscopy (1H-MRS). One of the important metabolites which 1H-MRS
can detect is Glx [summation of glutamate (Glu) and glutamine (Gln)], where Glu is one of the mediators of neurovascular
coupling and its concentration would influence the BOLD signal changes.1
In this study, we aim to elucidate the complex relationship between attention control (numerical Stroop)
and its associated neurochemical changes by combining the biochemical
information obtained from task-based fMRI and 1H-MRS.Methods
A total of 90 healthy subjects will be recruited for the entire research
project, approximately 15 subjects in each decade between 20 and 90. Potential
subjects will be interviewed to gather socio-demographic data and undergo
neuropsychological assessments. Only subjects with scores ≥28 in MMSE and ≥26
in MoCA will be included in the study. Written informed consent will also be obtained.
37 subjects were currently scanned. All experiments
were performed with 3.0T Philips scanner using a standard head coil. Structural
images were acquired with 3D fast field echo sequence (3D-T1-FFE sagittal).
For the 1H-MRS part, PRESS (TR/TE =
2000/39 ms) single voxels of 2 x 2 x 2 cm3 were placed in the ACC
(Figure 1a). Choline (Cho), creatine (Cr), N-acetyl aspartate (NAA),
myo-inositol (mI), and summation of glutamate and glutamine complex (Glx), were
measured and quantified using internal water as reference by QUEST in jMRUI
(4.0)(Figure 1b,c). Cerebrospinal fluid (CSF) normalization, water content correction for
grey matter, white matter and CSF, and correction factors for T1 and T2
relaxation were also implemented.
The task-based
functional images were collected by using a gradient-echo-planar sequence
sensitive to blood-oxygen-level-dependent (BOLD) contrast in a numerical Stroop
task (Figure 2). Data analysis was performed using Statistical Parametric
Mapping (SPM12). The preprocessing process includes motion correction,
normalization, and smooth with a Gaussian kernel of 8 mm FWHM (full width at
half maximum). In the first level analysis, the coefficients for each contrast
were estimated separately in the fixed event-related effect model. In the
second level analysis, the consistency of these coefficients was estimated
using the linear regression module with absolute concentrations of metabolites
from 1H-MRS as the covariates.Results
The demographic information and mean absolute concentrations of metabolites from 1H-MRS were shown in Table 1.
The anterior cingulate cortex (ACC),
right inferior frontal gyrus, bilateral insula and medial frontal gyrus were positively correlated with the absolute
concentration of Glx ([Glx]abs) (Figure 3). Other metabolites showed no
correlation with ACC activation.Discussion
Our novel finding of [Glx]abs significantly positively
correlated with the activated region over the ACC provides a neurochemical basis of neural activations observed in the attention control task, i.e.
numerical Stroop. As mentioned, [Glx]abs consists of both Glu and Gln, where Glu is the primary excitatory neurotransmitter, and together with its
precursor, Gln, they form the Glu-Gln cycle. In other words, [Glx]abs
can be deemed as a central measure of glutamatergic neurotransmission.
The
ACC is involved in attention control and its rich glutamatergic innervation has
been reported in prior studies.2,3 As such, an elevation in
this glutamatergic activity may then lead to the observed task-induced activation in the ACC.Conclusion
This is the first study which provides a
neurochemical explanation of the BOLD change during an attention control task
(numerical Stroop), identifying Glx as the excitatory neurotransmitter
mediating the neurovascular coupling.Acknowledgements
No acknowledgement found.References
1.
D'Esposito M, Deouell Y, et al. Alterations in the BOLD fMRI signal
with ageing and diseases: A challenge for neuroimaging. Neuroscience 2003;4:863-872.
2. Bozkurt
A, Zilles K, Schleicher A, et al. Distributions of transmitter receptors in the macaque cingulate cortex. Neuroimage 2005;25:219–229.
3. Palomero-Gallagher N, Vogt BA, Schleicher A, et al. Receptor architecture of human cingulate cortex: Evaluation of the
four-region neurobiological model. Hum Brain Mapp 2008;30:2336–2355.